The Refractive Thinker®: AI: The New Frontier of the Digital Age

Chpt 8 Cybersecurity Awareness Amid Evolution of Artificial Intelligence, Decentralized Identification, and Blockchain Cyber Realm

De: Dr. Avideh Sadaghiani-Tabrizi

Narrado por: Virtual Voice

Unlike most academic books that merely define research, The Refractive Thinker® series offers unique application of effective business practices from the perspective of multiple authors – each offering a chapter based on their scholarly expertise.

The Refractive Thinker® series provides doctoral scholars with a collaborative opportunity to promote and publish their work in an award winning peer-reviewed publication, which meets the university standard. Our goal is to provide an affordable outlet for scholars that supports the tremendous need for dynamic dialogue and innovation while providing additional credibility and recognition for each contributing author.

Join Foreword writer Jordan Wilson and esteemed doctoral scholars from around the globe as they present their research and discuss the innovative disruption of Artificial Intelligence (AI). Scholars share not only current trends and applications of this emerging technology, but also functional and moral concerns as the use of AI spreads to all facets of the personal and
business landscape. Come join us! This volume will not only inform readers of the current state of affairs, but also offer ideas that merit further consideration as AI continues to evolve into a societal tool that will continue to shape the conversation of future success in business around the world.

Contributions from our doctoral scholars:

Foreword by Jordan Wilson

CHAPTER 8
Cybersecurity Awareness Amid Evolution of
Artificial Intelligence, Decentralized Identification,
and Blockchain Cyber Realm
Dr. Avideh Sadaghiani-Tabrizi

Cybersecurity knowledge and awareness of threats can significantly affect knowledge and search strategies with modern adoption of HTTPS for secure communication over networks to ensure data integrity and privacy during transfer in protecting sensitive information. The evolution of AI’s powerful threat detection capabilities and the application of ML are part of a broader cybersecurity strategy to fight against cyber criminals, placing human expertise at the forefront of any solution to interpret results and making strategic decisions to ensure AI systems accuracy and efficiency in continuous development. Improving AI models’ security through a combination of AI and skilled human analysts offer robust cybersecurity policies necessary for comprehensive protection against evolving cyber threats. The regular updates and testing on AI could ensure effectiveness in securing technologies ranging from basic signature-based methods to advanced AI and ML-driven systems, making significant improvements in accuracy, speed, efficiency, and effectiveness of detecting and responding to cyber-threats. The ethical implications and potential consequences of AI may benefit from consideration of aligning with social, cultural, and variety of policies of the cyber landscape, combining AI and blockchain through a refractive thinking lens of evaluation of possibilities could present challenges in energy consumption, directing attention to the need for more robust AI models to secure blockchain systems.